| Year |
Citation |
Score |
| 2019 |
Günay C, Doloc-Mihu A, Lamb DG, Calabrese RL. Synaptic strengths dominate phasing of motor circuit: Intrinsic conductances of neuron types need not vary across animals. Eneuro. PMID 31270128 DOI: 10.1523/ENEURO.0417-18.2019 |
1 |
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| 2018 |
Wenning A, Norris BJ, Günay C, Kueh D, Calabrese RL. Output variability across animals and levels in a motor system. Elife. 7. PMID 29345614 DOI: 10.7554/eLife.31123 |
1 |
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| 2015 |
Günay C, Sieling FH, Dharmar L, Lin WH, Wolfram V, Marley R, Baines RA, Prinz AA. Distal spike initiation zone location estimation by morphological simulation of ionic current filtering demonstrated in a novel model of an identified Drosophila motoneuron. Plos Computational Biology. 11: e1004189. PMID 25978332 DOI: 10.1371/journal.pcbi.1004189 |
1 |
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| 2015 |
Günay C, Sieling FH, Dharmar L, Lin WH, Wolfram V, Marley R, Baines RA, Prinz AA. Distal Spike Initiation Zone Location Estimation by Morphological Simulation of Ionic Current Filtering Demonstrated in a Novel Model of an Identified Drosophila Motoneuron Plos Computational Biology. 11. DOI: 10.1371/journal.pcbi.1004189 |
1 |
|
| 2014 |
Wolfram V, Southall TD, Günay C, Prinz AA, Brand AH, Baines RA. The transcription factors islet and Lim3 combinatorially regulate ion channel gene expression. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 2538-43. PMID 24523544 DOI: 10.1523/JNEUROSCI.4511-13.2014 |
1 |
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| 2012 |
Lin WH, Günay C, Marley R, Prinz AA, Baines RA. Activity-dependent alternative splicing increases persistent sodium current and promotes seizure. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 7267-77. PMID 22623672 DOI: 10.1523/JNEUROSCI.6042-11.2012 |
1 |
|
| 2010 |
Edgerton JR, Hanson JE, Günay C, Jaeger D. Dendritic sodium channels regulate network integration in globus pallidus neurons: a modeling study. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 15146-59. PMID 21068320 DOI: 10.1523/JNEUROSCI.2662-10.2010 |
1 |
|
| 2010 |
Günay C, Prinz AA. Model calcium sensors for network homeostasis: sensor and readout parameter analysis from a database of model neuronal networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 1686-98. PMID 20130178 DOI: 10.1523/JNEUROSCI.3098-09.2010 |
1 |
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| 2009 |
Günay C, Edgerton JR, Li S, Sangrey T, Prinz AA, Jaeger D. Database analysis of simulated and recorded electrophysiological datasets with PANDORA's toolbox. Neuroinformatics. 7: 93-111. PMID 19475520 DOI: 10.1007/s12021-009-9048-z |
1 |
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| 2009 |
Gunay C, Prinz AA. Finding sensors for homeostasis of biological neuronal networks using artificial neural networks Proceedings of the International Joint Conference On Neural Networks. 1025-1032. DOI: 10.1109/IJCNN.2009.5178991 |
1 |
|
| 2008 |
Günay C, Edgerton JR, Jaeger D. Channel density distributions explain spiking variability in the globus pallidus: a combined physiology and computer simulation database approach. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 7476-91. PMID 18650326 DOI: 10.1523/JNEUROSCI.4198-07.2008 |
1 |
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| 2008 |
Günay C, Smolinski TG, Lytton WW, Morse TM, Gleeson P, Crook S, Steuber V, Silver A, Voicu H, Andrews P, Bokil H, Maniar H, Loader C, Mehta S, Kleinfeld D, et al. Computational intelligence in electrophysiology: Trends and open problems Studies in Computational Intelligence. 122: 325-359. DOI: 10.1007/978-3-540-78534-7_14 |
1 |
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| 2006 |
Günay C, Maida AS. A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks. Biological Cybernetics. 94: 33-45. PMID 16283375 DOI: 10.1007/s00422-005-0023-y |
1 |
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| 2006 |
Günay C, Maida AS. Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines Neurocomputing. 69: 317-367. DOI: 10.1016/j.neucom.2005.03.008 |
1 |
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| 2003 |
Günay C, Maida AS. Temporal binding as an inducer for connectionist recruitment learning over delayed lines. Neural Networks : the Official Journal of the International Neural Network Society. 16: 593-600. PMID 12850012 DOI: 10.1016/S0893-6080(03)00117-5 |
1 |
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